2) Influence unlearning method.
The second group [1]}, [2]} is based on the Influence theory [3]}.
The unlearning algorithm is performed by computing the influence of the data \(\mathbf {D_i}\)  on the trained ML model then updating the model to remove that influence as
\(\mathbf {w}^{\prime }=\mathbf {w}+\mathbf {I}^{-1}\mathbf {\nabla }\) 
